Future University In Egypt (FUE)
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Altagamoa Al Khames, Main centre of town, end of 90th Street
New Cairo
Egypt

List of Courses

Econometrics 2

  • Course Code :
    ECO 405
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Department of Economics

Instructor information :

Area of Study :

This course applies econometric methods in real-world situations as well as conducting empirical economic research, through providing students with formal background knowledge of conducting regression models, the principles of estimation (Ordinary Least Squares, Generalized Least Squares and Maximum Likelihood Estimation), hypothesis testing, and goodness of fit. The course focuses on limited dependent variable models and generalized methods of moments GMM. It explains the qualitative response regression models (probit model, tobit model, logit model), time series models (VAR, ARIMA, and state-space models). Moreover, panel data models (fixed effect and random effect models) are to be illustrated. Course Goals: • Analyze economic data using statistical and econometric methods. • Become analytically oriented. • Enhance statistical skills and prepare our students for pursuing graduate education and in becoming professional economists. • Extend the core working knowledge of applied econometrics

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Econometrics 2

This course applies econometric methods in real-world situations as well as conducting empirical economic research, through providing students with formal background knowledge of conducting regression models, the principles of estimation (Ordinary Least Squares, Generalized Least Squares and Maximum Likelihood Estimation), hypothesis testing, and goodness of fit. The course focuses on limited dependent variable models and generalized methods of moments GMM. It explains the qualitative response resgression models (probit model, tobit model, logit model), time series models (VAR, ARIMA, and state-space models). Moreover, panel data models ( fixed effect and random effect models) are to be illustrated.

For further information :

Econometrics 2


Course outcomes:

a. Knowledge and Understanding:

1- Gain knowledge in introductory time series econometric analysis.
2- Acquire knowledge and understanding of advanced regression estimation and
3- Estimate relationships between economic variables.
4- Conduct hypothesis tests and draw inferences.

b. Intellectual Skills:

1- Criticize different econometric models.
2- Analyze the effectiveness and validity of applying econometric methods to economic time series.
3- Develop quantitative economic models and the application of econometric methods using economic data.
4- Judge whether a certain econometric method is appropriate in a given data application.

c. Professional and Practical Skills:

1- Demonstrate an understanding of and distinguish empirically between stationary and different types of non- stationary time series.
2- Manipulate an econometric framework for dealing with restrictions imposed by theory.
3- Prepare to apply in the areas of microeconomics and macroeconomics.

d. General and Transferable Skills:

1- Acquire evaluation of evidence and hypothesis; clear communication; numeracy; decision making skills and competence in information.
2- Justify the use of linear models in modelling economic variables.


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Econometrics 2

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical
Introductory Lecture and Course Outline formal background knowledge of conducting regression models, the principles of estimation (Ordinary Least Squares, Generalized Least Squares) 6 2
Multiple regression and hypothesis testing: review and extensions. 3 1
Non-linear regression. 3 1
Maximum likelihood estimation, asymptotic hypothesis tests. 6 2
Midterm Exam 1
limited dependent variable models and generalized methods of moments GMM 6 2
Qualitative response regression models (probit model, tobit model, logit model) 6 2
Time series models (VAR, ARIMA, and state-space models 6 2
Panel data models ( fixed effect and random effect models) 3 1
Final Exam 1

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Econometrics 2

Teaching And Learning Methodologies:

Teaching and learning methods
Data show, smart board and computer in lectures
Tutorials for problem solving and applications on different statistical packages.

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Econometrics 2

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What
Course Work (Attendance, Participation, Assignments, Quizzes, Research Paper…) 30.00 To assess understanding and to assess theoretical background of the intellectual and practical skills.
Final Exam 40.00 15 To assess knowledge and intellectual skills.
Midterm Exam 30.00 7 To assess understanding and application skills.

For further information :

Econometrics 2

Books:

Book Author Publisher

Recommended books :

1. Christopher Dougherty, Introduction to Econometrics. Oxford University Press, 2009. 2. J. Wooldridge, Introductory Econometrics. Thompson, 2003. 3. R.Hill (et. al.), Undergraduate Econometrics. John Wiley & sons Inc., 2005.

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